Relevant bibliographies by topics / Shopping behaviors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Shopping behaviors'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Shopping behaviors"

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Roy Dholakia, Ruby. "Going shopping: key determinants of shopping behaviors and motivations." International Journal of Retail & Distribution Management 27, no. 4 (May 1999): 154–65. http://dx.doi.org/10.1108/09590559910268499.

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Kang, Ju-Young M. "What drives omnichannel shopping behaviors?" Journal of Fashion Marketing and Management: An International Journal 23, no. 2 (May 13, 2019): 224–38. http://dx.doi.org/10.1108/jfmm-07-2018-0088.

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Purpose The purpose of this paper is to investigate the interrelationships among fashion lifestyle of social-local-mobile (SoLoMo) consumers as individual characteristics, perceptions of the value of showrooming and webrooming and omnichannel shopping intention as choice/purchase behavior, and product review sharing intention as a post-purchase behavior. Design/methodology/approach Participants were 601 SoLoMo consumers who were drawn from a US consumer panel. Structural equation modeling was used to test the hypothesized model. Findings This study found that SoLoMo consumers’ perceptions of the value of showrooming and webrooming were antecedents of their omnichannel shopping intention, which had an influence on their intention to share product reviews. SoLoMo consumers’ brand prestige-based fashion lifestyle did not affect the perceived value of webrooming and had a negative influence on perceived value of showrooming. SoLoMo consumers’ information-based and practicality-based fashion lifestyles affected the perceived value of showrooming and webrooming. Interestingly, SoLoMo consumers’ personality-based fashion lifestyle did not have an influence on the perceived value of showrooming and webrooming. Originality/value This study provides the theoretical understanding of the interrelationships among SoLoMo consumers’ fashion lifestyle, perceived value, omnichannel shopping intention and product review sharing intention. This proposed model offers fashion retailers useful insights regarding the development of efficient omnichannel strategies based on SoLoMo consumers’ individual characteristics and perceptions. Finally, the results of this study engender important literature and knowledge related to omnichannel retailing and marketing.
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Hsiaoping, Yeh. "Forecasting Personal Shopping Behavior." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 2 (April 10, 2014): 4146–56. http://dx.doi.org/10.24297/ijct.v13i2.2907.

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Data mining (DM) techniques make efforts to discovery knowledge from data. Aiming to finding patterns, association rule (AR) computing algorithms seem to be one to be adopted on variety applications. To be originally claimed for best analyzing customer shopping goods in baskets, Apriori, the first AR algorithm, has been discussed and modified the most by researchers. This study adopts Apriori algorithm to forecast individual customer shopping behavior. This study finds that customer shopping behaviors can be comprehended better in a long run. With Apriori mining and the examining principles proposed by this study, customer purchase behaviors of no matter constant purchase, stopping purchasing habitual goods, and starting to purchase goods that never bought before is able to be recognized. However, impulse purchase, including purchase for holidays, is unable to be discovered.
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Lim, Junsang, and Seungjae Lee. "UNDERSTANDING SHOPPING BEHAVIORS OF PARTNERS DURING A JOINT-SHOPPING TRIP." Journal of Academy of Business and Economics 15, no. 3 (October 1, 2015): 129–42. http://dx.doi.org/10.18374/jabe-15-3.18.

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Chiou, Jyh-Shen, Szu-Yu Chou, and George Chung-Chi Shen. "Consumer choice of multichannel shopping." Internet Research 27, no. 1 (February 6, 2017): 2–20. http://dx.doi.org/10.1108/intr-08-2013-0173.

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Purpose Consumers display complex shopping behaviors in the multichannel environment, which includes traditional retail stores and the internet. The purpose of this paper is to examine the effects of the customer-sales associate relationship, customers’ receptiveness to online store shopping, and their interaction effects on the customer’s attitude toward multichannel shopping behavior when the firm decides to establish an online store as the online channel. The authors also examine how customers’ multichannel shopping behavior affects their future spending intentions. Design/methodology/approach Survey data were collected by soliciting 231 customers who purchased cosmetics in department stores within the past three months. Subjects were asked to give their overall evaluation of their offline and online shopping experiences in the last three months. Findings Results show that the customer-sales associate relationship significantly reduces customers’ attitude toward searching offline but purchasing online. Receptiveness to online store shopping has significant effects on customers’ attitude toward multichannel shopping behaviors regardless of whether they search or purchase via the online channel. The customer-sales associate relationship also moderates the relationship between customers’ receptiveness to online store shopping and multichannel shopping behaviors. Finally, unlike other types of online and offline multichannel shoppers who display higher future spending intentions when the physical store decides to open an online store, those who prefer physical stores for both information searching and product purchasing display lower spending intentions. Originality/value To the best of the authors’ knowledge, this paper is the first to use customer-sales associate relationships to investigate consumers’ attitude toward multichannel shopping behavior. The findings provide meaningful implications for service providers that use sales associates to increase consumers’ value via face-to-face service, but find it challenging to go online.
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Thomas, Taylor, and Charles E. Carraher. "A retail perspective on the shopping behavior, cultures and personalities for China, United Arab Emirates, Belgium, India, Germany and America." Journal of Technology Management in China 9, no. 3 (September 30, 2014): 289–96. http://dx.doi.org/10.1108/jtmc-08-2014-0050.

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Purpose – This study aims to examine the shopping behaviors (online and in store), cultures and personalities of consumers within China, Belgium, India and Germany, and compares them to American shopping behaviors and to each other. Design/methodology/approach – The data were collected through literature research and personality, cultural and shopping behavior research was assessed via surveys, while customer service oriented behaviors were measured through direct observation and survey methods using structured questionnaires and other approaches for data collection. Findings – The findings showed implications of anticipating consumer’s behavioral responses, as well as the cultural and personality differences. The findings may help retailers with strategic business strategies to assess what attracts consumers the most and the least and then use this advantage to become successful internationally. Originality/value – The current study is original, in that it uses multiple methods to collect data allowing for comparison across shopping industry groups including retail managers and even consumers themselves. Primary data of this type are difficult to obtain in China. This study contributes to the literature by showing that different industries may have different requirements in terms of the relationship between personalities and customer service levels among managers.
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Seo, Jung-Im. "Internet Shopping Behaviors of Generation Y African-American Based on Apparel Production Involvement." International Business Research 9, no. 9 (July 22, 2016): 64. http://dx.doi.org/10.5539/ibr.v9n9p64.

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<p>This study investigates internet shopping behaviors of Generation Y African-Americans (GYAAs), based on their levels of apparel product involvement associated with internet shopping orientations, internet situational influences, internet behavioral intentions, and previous internet shopping experiences. Data were collected from African-American college students of several universities in southeastern United States. Of the total surveys collected, 240 completed surveys were analyzed using multivariate analysis of variance (MANOVA), univariate analysis of variance (ANOVA), one-way ANOVA, <em>chi</em>-square, and <em>phi</em>-coefficient. This study attempts to understand internet shopping behaviors of GYAA. This research demonstrates that GYAAs have unique internet shopping behaviors toward on-line apparel products, showing that two involvement groups differ significantly in many ways. Internet shopping is highly attractive to high-involvement GYAA consumers due to its entertainment during their web-surfing as well as many other reasons such as its fashion-consciousness and personality rather than the reasons of convenience, expense, and familiarity, which are more sensitive to low-involvement GYAA consumers.</p>
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Lakshmi. "CONSUMER BUYING BEHAVIOR TOWARDS ONLINE SHOPPING." International Journal of Research -GRANTHAALAYAH 4, no. 8(SE) (August 31, 2016): 60–65. http://dx.doi.org/10.29121/granthaalayah.v4.i8(se).2016.2588.

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With the increasing internet literacy, the prospect of online marketing is increasing. There are millions of people online any time and they all are a potential consumer in the online market. Since there are so many providers, the most important thing for organizations is to understand what are consumer wants and needs in this competitive business environment. Customer buying behaviors are influenced by different factors such as culture, social class, references group relation, family, salary level and salary independency, age, gender etc. and so they show different customer behaviors. These studies explain online shopping important and consumer buying behavior in online shopping.
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Niu, Fangqu, and Fang Wang. "How Does China’s New Consumption Era Reshape Residents’ Shopping Behaviors from the Perspective of Community in Hohhot, China." Sustainability 13, no. 14 (July 7, 2021): 7599. http://dx.doi.org/10.3390/su13147599.

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In the new consumption era, the popularization and application of information technology has continuously enriched residents’ consumption channels, gradually reshaping their consumption concepts and shopping behaviors. In this paper, Hohhot is taken as a case study, using open-source big data and field survey data to theorize the characteristics and mechanism of residents’ shopping behaviors in different segments of consumers based on geography. First, communities were divided into five types according to their location and properties: main communities in urban areas (MCs), historical communities in urban areas (HCs), high-grade communities in the outskirts of the city (HGCs), mid-grade communities in urban peripheries (MGCs), and urban villages (UVs). On this basis, a structural equation model is used to explore the characteristics of residents’ shopping behaviors and their influencing mechanisms in the new consumption era. The results showed that: (1) The online shopping penetration rate of residents in UVs and HCs is lowest, and that of residents in HGC is highest. (2) The types of products purchased in online and offline shopping by different types of community show certain differences. (3) From the perspective of influencing mechanisms, residents’ characteristics directly affect their shopping behaviors and, indirectly (through the choice of community where they live and their consumption attitudes), their differences in shopping behaviors. Different properties of communities cannot directly affect residents’ shopping behaviors, but they can affect them indirectly by influencing consumption attitudes and then affect such behaviors. Typical consumption attitudes of the new era, such as shopping for luxuries and emerging consumption, have the most significant and direct influence on shopping behaviors, as well as an intermediate and variable influence.
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Biswas, Abhijit, Jane W. Licata, Daryl McKee, Chris Pullig, and Christopher Daughtridge. "The Recycling Cycle: An Empirical Examination of Consumer Waste Recycling and Recycling Shopping Behaviors." Journal of Public Policy & Marketing 19, no. 1 (April 2000): 93–105. http://dx.doi.org/10.1509/jppm.19.1.93.16950.

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The findings of this research indicate that attitude toward recycling has a significant effect on waste recycling and recycling shopping behaviors. In addition, affect, past behavior, and subjective norm explain significant incremental variance in the two types of recycling behaviors. Moderator analyses show that for waste recycling behavior, affect plays a lesser role when the strength of attitude toward recycling is strong, and vice-versa. Finally, the authors find a significant correlation between waste recycling behavior and recycling shopping behavior. The authors discuss managerial and public policy issues based on these findings.
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Dissertations / Theses on the topic "Shopping behaviors"

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Rossi, Audrey Laëtitia. "Generation Y online shopping behaviors and habits." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2302.

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Online marketing opportunites regarding the teenage market are often underestimated due to the fact that the general information to date is neither particular, specific nor exact. Therefore, this project aims at giving guidelines for webmarketers willing to capture the "consumers of tomorrow".
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Garnett, Rebecca. "Examining the Effects of Psychographics, Demographics, and Geographics on Time-Related Shopping Behaviors." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33151/.

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The purpose of this study was to determine the effects of psychographic (shopping orientation, lifestyle, social class), demographic (gender, ethnicity, age), and geographic (area of residence) variables on time-related shopping behaviors when shopping for clothing for the self. The concept of time-related shopping behaviors has not been the focus of any study of the American market. Data (N = 550) were collected via a questionnaire with an online survey company. Through analysis of chi square statistics, ANOVA, Pearson product-moment correlation, and factor analysis, it was found that psychographics and demographics affected time-related and other shopping behaviors. Geographics was found to affect shopping behavior, but not specifically the time-related shopping behaviors studied.
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Lin, Pin-Wuan. "The effects of consumers' online shopping goals and their characteristics on perceived interactivity and shopping behaviors." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4577.

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Thesis (M.S.)--University of Missouri-Columbia, 2006.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (February 8, 2007) Vita. Includes bibliographical references.
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Dowdy, Marshall Dean. "The grocery shopping attitudes and behaviors of convenience store patrons." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-10022007-144631/.

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Perkins, Sarah G. "FARMERS’ MARKET SHOPPING BEHAVIORS AND THE ASSOCIATION OF FRUIT AND VEGETABLE INTAKE." UKnowledge, 2014. http://uknowledge.uky.edu/foodsci_etds/17.

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Fruit and vegetable (FV) intake continues to decline among sub-population in the United States. Current policies and interventions have aimed to improve intake by improving access to fruits and vegetables. One Centers for Disease Control and Prevention suggested strategy is to improve access to farmers’ markets in rural areas. The aims of this study were to determine if the frequency of shopping at Farmers’ Markets is associated with fruit and vegetable intake, adjusted for age, income and education and to compare rural and non-rural areas frequency of Farmers’ Market attendance based on Kentucky farmers’ market interview participants (n = 102). The results of the descriptive, cross-sectional study determined that the Kentucky farmers’ market customers Fruit and Vegetable Score was positively associated with frequency of purchase of locally grown fruits and vegetables at farmers’ markets. However, the frequency of farmers’ market attendance was most commonly limited to ‘once a week’ (as a result of participants attending ‘Only attends market when need something’). It was concluded that alleviating the barriers customers face to use farmers’ markets is the best way to increase the attendance of farmers’ markets and as a result increase the purchases of fresh fruits and vegetables.
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Turner, Lindsey Jean. "The Impact of Music on the Shopping Behaviors of Generation Y Consumers in a College Campus Bookstore." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115174/.

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The purpose of this study was to identify the effect of background music in a retail setting on Generation Y students’ shopping behaviors by using the Mehrabian-Russell environmental psychology model. the study examined the impact of genre, volume, and song familiarity on purchase intention, as well as whether these musical factors would produce a change in mood. the influence of involvement with shopping on in-store music was also examined. a total of 251 students completed pre- and post-shopping surveys at the University of North Texas’ Follett Bookstore. Participants were all between 18 and 35 years of age (Generation Y). the surveys aimed to capture the participants’ entry and exit mood as well as information such as level of shopping involvement and intentions, musical awareness, overall shopping experience, and basic demographics. a positive mood change was found between entry and exit among those who were somewhat familiar and not at all familiar with the music, and entry mood affected overall shopping experience. There was a positive correlation between exit mood and the overall experience, and a negative correlation between exit mood and the amount of money spent.
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Jeon, Sua. "The Effect of Consumer Shopping Motivations on Online Auction Behaviors: An Investigation of Searching, Bidding, Purchasing, and Selling." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5366/.

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The purposes of the study were to: 1) identify the underlying dimensions of consumer shopping motivations and attitudes toward online auction behaviors; 2) examine the relationships between shopping motivations and online auction behaviors; and 3) examine the relationships between shopping attitudes and online auction behaviors. Students (N = 341) enrolled at the University of North Texas completed self-administered questionnaires measuring shopping motivations, attitudes, online auction behaviors, and demographic characteristics. Using multiple regression analyses to test the hypothesized relationships, shopping motivations and shopping attitudes were significantly related to online auction behaviors. Understanding the relationships is beneficial for companies that seek to retain customers and increase their sales through online auction.
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Watchravesringkan, Kittichai. "A hierarchical model of values, price perception, ongoing search and shopping behaviors: A cross-cultural comparison." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/280776.

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A considerable degree of cross-cultural research has recognized the impact of cultural values of individualism and collectivism on individuals' consumption behavior. Recently, the impact of international market expansion and modernization may have helped transform values of materialism among Asians. It is evident that values have a hierarchical influence on consumption behavior through higher-order cognition (e.g., perceptions and attitudes). In this study, we argue that materialism, individualism, and collectivism have an impact on consumers' ongoing search and shopping behaviors through consumers' perceived two different roles of price: symbolic and functional. The symbolic role reflects a person's self-enhancement, role position, and self-image, whereas the functional role implies the motivational aspect of an individual's consumption. This current paper is comprised of two studies. In study one, we attempt to establish the overall hierarchical flow of the cultural values of materialism, individualism, and collectivism with regard to consumers' perceived symbolic and functional roles of price, which in turn affect their ongoing search and mall shopping behavior for apparel products based on the combined sample from two cultures, American and Korean. In study two, we focus on establishing a cross-cultural validation of the hierarchical model of values-price perception-ongoing search-shopping behaviors in four countries (the United States, Canada, Thailand, and China). Additionally, study two extends study one by incorporating both horizontal versus vertical individualism and collectivism and the role of the Internet as informational and transactional sources into the hierarchical model. The final sample is comprised of 806 college students. Of these, 192 are Americans, 158 are Canadian, 248 are Thai, and 208 are Chinese. The present findings illustrate that cross-cultural validation using the hierarchical model of values-price perception-ongoing search-shopping behavior is established. However, the underlying constructs explaining such flow differ considerably across cultures. Using a culture (i.e., region) and an individual (i.e., country) level of analysis, we further found that there are differences and similarities related to materialism; as well, the impact of horizontal versus vertical individualism and collectivism and the interrelationships among these constructs are examined. Implications for future theoretical and practitioner research are provided. Limitations and future research directions are also acknowledged.
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Dey, Shohag. "The Diversified Online Shopper: Website Feature Preferences and Individual Characteristics." Cleveland, Ohio : Cleveland State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=csu1198799409.

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Thesis (M.A.)--Cleveland State University, 2007.
Abstract. Title from PDF t.p. (viewed on May 8, 2008). Includes bibliographical references (p. 97-110). Available online via the OhioLINK ETD Center. Also available in print.
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Kim, Jung-Hwan. "The effect of amount of information and music on consumer shopping behaviors in an online apparel retailing setting." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1154322625.

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Books on the topic "Shopping behaviors"

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Stella, Minahan, ed. Consumer behavior: Women and shopping. New York: Business Expert Press, 2011.

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Huddleston, Patricia. Consumer behavior: Women and shopping. New York: Business Expert Press, 2011.

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Semerádová, Tereza, and Petr Weinlich. Website Quality and Shopping Behavior. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44440-2.

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Huddleston, Patricia. Consumer behavior: Women and shopping. New York: Business Expert Press, 2011.

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Molenaar, Cor. Shopping 3.0: Shopping, the Internet or both? Farnham, Surrey, England: Ashgate Pub., 2010.

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Foot, David. Changes in customer shopping behavior: Savacentre shopping surveys 1982 and 1987. Reading: University of Reading Department of Geography, 1988.

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Gavaghan, Jacqueline. Consumer shopping behaviour for domestic appliances. Dublin: University College Dublin, 1994.

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ill, Armitage David 1943, ed. Harry hates shopping! New York: Scholastic, 1992.

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Shopping 3.0: Shopping, the Internet or both? Farnham: Ashgate Pub., 2010.

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Phillips, Hugh Charles. Towards a general theory of shopping behaviour. Leicester: De Montfort University, 2001.

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Book chapters on the topic "Shopping behaviors"

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Li, Min, Jun Zhang, Zhengjie Liu, and Graham I. Johnson. "An Experimental Study of Chinese Shopping Related Sharing Behaviors." In Human-Computer Interaction – INTERACT 2013, 608–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40477-1_39.

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Anaza, Nwamaka A. "Personality, Satisfaction, and Customer Citizenship Behaviors in an Online Shopping Context." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 6. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10951-0_3.

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Dodds, William B., Nicholas Nugent, and Vicky L. Crittenden. "The Influence of Different Shopping Behaviors on Rational Choice: An Empirical Investigation." In Proceedings of the 1987 Academy of Marketing Science (AMS) Annual Conference, 2–7. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17052-7_1.

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Ruiz Mafe, Carla, and Silvia Sanz Blas. "Consumer Shopping Behavior Online." In Global Consumer Behavior, 147–74. Newport Beach, CA USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118614877.ch8.

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Popp, Heribert, Stephan Thesmann, and Peter Mertens. "Private Household Shopping Behavior." In The Information Superhighway and Private Households, 149–60. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-642-48423-0_13.

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Semerádová, Tereza, and Petr Weinlich. "Introduction." In Website Quality and Shopping Behavior, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44440-2_1.

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Semerádová, Tereza, and Petr Weinlich. "Looking for the Definition of Website Quality." In Website Quality and Shopping Behavior, 5–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44440-2_2.

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Semerádová, Tereza, and Petr Weinlich. "Factors Influencing User Experience." In Website Quality and Shopping Behavior, 29–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44440-2_3.

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Semerádová, Tereza, and Petr Weinlich. "Technical Aspects of Web Design." In Website Quality and Shopping Behavior, 63–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44440-2_4.

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Semerádová, Tereza, and Petr Weinlich. "Using Google Analytics to Examine the Website Traffic." In Website Quality and Shopping Behavior, 91–112. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44440-2_5.

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Conference papers on the topic "Shopping behaviors"

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Li, Shuling, and Liang Liang. "An Empirical Study of College Students' Online Shopping Behaviors." In 2011 International Conference on Computer and Management (CAMAN). IEEE, 2011. http://dx.doi.org/10.1109/caman.2011.5778903.

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Zhang, Qingyu, Cui Li, Chunling Zhang, and Kang Wang. "An Investigation on Online Shopping Behaviors in the Singles Day." In the International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3134271.3134278.

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Gao, Minzhi, Fang Meng, and Yan Meng. "Analysis of Consumer Supermarket Shopping Behaviors Based on Eye Movement Information." In 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2020. http://dx.doi.org/10.1109/cisp-bmei51763.2020.9263613.

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Nozaki, Yuri, and Tetsuji Satoh. "Category Classification Methods Reflecting Item Search Behaviors on Online Shopping Sites." In 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2018. http://dx.doi.org/10.1109/iiai-aai.2018.00017.

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Wu, Yingying, Yiqun Liu, Ning Su, Shaoping Ma, and Wenwu Ou. "Predicting Online Shopping Search Satisfaction and User Behaviors with Electrodermal Activity." In the 26th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3041021.3054226.

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Hou, Jiang-Liang, and Ting-Gin Chen. "An RFID-Based Shopping Service System for Retailers." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84305.

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With the rapid development of global economy and great improvement on life quality of consumers, the consumer shopping behaviors have been changed significantly. Modern retailers have put intensive effort on merchandise arrangement in order to satisfy the consumer demands on merchandise shopping. However, most retailers do not provide satisfactory shopping services to customers. For instance, without a customized shopping recommendation for each individual customer, consumers have to spend a lot of time for merchandise selection. Furthermore, most large-spaced retailers merely utilize signs in front the aisles of specific merchandise areas to direct consumers, which cannot provide an accurate guidance for merchandise search. Therefore, regarding the shopping services of a modern retailer, this research develops a customized merchandise recommendation algorithm (CMRA) and a shopping route determination and guidance algorithm (SRDGA). Based on the proposed algorithms, a Shopping Service System (3S-System) is established by integrating the RFID technology. Considering the consumer demands, consumer shopping preferences and market promotion plans, this research proposes an integrated, heuristic methodology to provide a customized shopping list, route recommendation and real-time direction guidance for consumer shopping. Moreover, based on the proposed methodology, a Shopping Service System (3S-System) is established, and a simulated market is created in order to verify the feasibility of the proposed model. The verification results show that the system can offer customers appropriate shopping route recommendation in a short time and could achieve real-time guidance. As a whole, this research provides a methodology and system to provide effective shopping services for consumers and as a result the shopping service quality of modern retailers can be enhanced and the sales volume of merchandises can be increased.
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Yang, Jing-Wen, Yang Yu, and Xiao-Peng Zhang. "Life-Stage Modeling by Customer-Manifold Embedding." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/455.

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A person experiences different stages throughout the life, causing dramatically varying behavior patterns. In applications such as online-shopping, it has been observed that customer behaviors are largely affected by their stages and are evolving over time. Although this phenomena has been recognized previously, very few studies tried to model the life-stage and make use of it. In this paper, we propose to discover a latent space, called customer-manifold, on which a position corresponds to a customer stage. The customer-manifold allows us to train a static prediction model that captures dynamic customer behavior patterns. We further embed the learned customer-manifold into a neural network model as a hidden layer output, resulting in an efficient and accurate customer behavior prediction system. We apply this system to online-shopping recommendation. Experiments in real world data show that taking customer-manifold into account can improve the performance of the recommender system. Moreover, visualization of the customer-manifold space may also be helpful to understand the evolutionary customer behaviors.
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Kalburan, Çetin, and Selçuk Burak Haşıloğlu. "Consumers' Perceived Risks and Risk Reduction Efforts in Internet Shopping." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01432.

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Becoming widespread of Internet increases share of electronic commerce (E-commerce) in the economy each passing day. Therefore, analysis of the behaviors of consumers who are shopping on the Internet has become more important for companies. Consumers have more or less risk perception because of possible problems they may face in the post-shopping. Usually, consumers make an effort to reduce this risk. These efforts to reduce risk play a key role between perceived risk and perceived benefit. On the other hand, perceived risk and risk reduction methods vary on the Internet in comparison to traditional commerce. From this point of view, in this study, for online shopping, the relationships between perceived risk and risk reduction variables were investigated on the basis of the different products.
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Ben Hassen, Tarek, Hamid El Bilali, and Mohammad S. Allahyari. "Impact of COVID-19 on Food Behavior and Consumption in Qatar." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0296.

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The Government of Qatar took strong containment measures to prevent the spread of COVID-19 with restrictions on daily living such as social distancing and the closing of businesses and schools. While these measures are essential to stop the virus spreading, several voices came to warn of their potential disruptive impact on the agri-food system. Therefore, this paper investigates the immediate impacts of COVID-19 on Qatari consumer awareness, attitudes, and behaviors related to food consumption. The study is based on an online survey in Qatar using a structured questionnaire that was administered in the Arabic language through the Survey Monkey platform from 24 May until 14 June 2020. The results reveal clear changes in the way consumers are eating, shopping, and interacting with food. Indeed, the survey results suggested (i) a shift toward healthier diets; (ii) an increase in the consumption of domestic products due to food safety concerns; (iii) a change in the modality of acquiring food (with a surge in online grocery shopping); (iv) an increase in culinary capabilities; and (v) the absence of panic buying and food stockpiling in Qatar. The results are expected to inform current emergency plans as well as long-term food-related strategies in Qatar.
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Guo, Yunhui, Congfu Xu, Hanzhang Song, and Xin Wang. "Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/247.

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People consume and rate products in online shopping websites. The historical purchases of customers reflect their personal consumption habits and indicate their future shopping behaviors. Traditional preference-based recommender systems try to provide recommendations by analyzing users' feedback such as ratings and clicks. But unfortunately, most of the existing recommendation algorithms ignore the budget of the users. So they cannot avoid recommending users with products that will exceed their budgets. And they also cannot understand how the users will assign their budgets to different products. In this paper, we develop a generative model named collaborative budget-aware Poisson factorization (CBPF) to connect users' ratings and budgets. The CBPF model is intuitive and highly interpretable. We compare the proposed model with several state-of-the-art budget-unaware recommendation methods on several real-world datasets. The results show the advantage of uncovering users' budgets for recommendation.
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Reports on the topic "Shopping behaviors"

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Markova, Ivana, and Naska Bayanduuren. Conscious Consumption: Consumer Attitudes and Behaviors toward Second-hand Shopping Conscious Consumption: Consumer Attitudes and Behaviors toward Second-hand Shopping. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1767.

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Lee, Yoojung, and Hyunjoo Im. BOGO or 50% Off?: The Impact of Sales Promotions and Shopping Channels on Apparel Shopping Behaviors. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1766.

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Ha, Sejin, and Hyunjoo Im. How Other Shoppers and Shopping Motives Shape Shopping Behavior. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-36.

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Lee, Seung-Hee, Jane Workman, and Kwangho Jung. Mobile Shopping Behavior among Fashion Adoption Groups. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1475.

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Davis, Lizhu, Xiaowen Qiu, and Dean Davis. Chinese tourists' shopping behavior in the United States. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-296.

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Kinley, Tammy R., Bharath M. Josiam, and Kirti Dutta. The Indian Consumer Experience: Shopping Behavior and the Involvement Construct. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-935.

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Sadachar, Amrut, and Arpita Khare. Influence of Collective Self-Esteem on Online Shopping Behavior of American Youth. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-524.

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Davis, Lizhu, and Tun-Min (Catherine) Jai. Religiosity and Store Choice Criteria: Exploring Christian Consumers’ Apparel Shopping Behavior in the United States. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-926.

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Kim, Seeun, Sukki Yoon, and Tae Hyun Baek. Busy Minds: The Effect of Busyness and Virtual Product Presentation Format on Online Shopping Behavior. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8386.

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Kang, Jiyun, Pauline Sullivan, and Ann DuPont. Filling the Attitude-Behavior Gap in Sustainable Consumption: The Role of Consumer Involvement and Shopping Enjoyment. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-501.

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